Fig. 1: Overview of our study. | Nature Communications

Fig. 1: Overview of our study.

From: Deciphering age- and sex-specific patterns of coronary artery atherosclerosis from a large Chinese cohort

Fig. 1: Overview of our study.

a Study approach. A large multi-center CCTA dataset was collected as input to the PLASMA for extracting coronary artery- and plaque-related information. Then, characteristics that are significant for clinical diagnosis were calculated, and the plaque distribution atlas was built, based on system outputs. Finally, we conducted analysis at the per-subject and per-segment level, and in the continuous space stratified by age and sex. b Demographic distribution of the study cohort. The multi-layered donut chart illustrates characteristics of the cohort (N = 16,300), stratified by sex (innermost), age (middle), and geographic (outermost) region. c PLASMA-based plaque characterization. Anatomical structures and lesion information were automatically extracted by PLASMA and used to calculate plaque characteristics, including position, burden, and morphology. d Main results and clinical applications.

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